Loading Events

« All Events

  • This event has passed.

New York Data Carpentry Library Consortium Spring 2020 Workshop

March 6, 2020 @ 9:00 am - 5:00 pm EST

Do you want to….

  • Learn how to manipulate, analyze, and manage data using OpenRefine, R, and SQL?
  • Make data-driven decisions?
  • Have richer conversations with patrons and administrators about their research data?
  • Automate repetitive tasks?

Take a free NYDCLC workshop March 5 & 6 in Cortland, NY 

The New York Data Carpentry Library Consortium is a brand new, IMLS-funded effort to develop cutting-edge data science support in Central and Western New York.

We are a group of librarians who collaborate to provide data trainings for academic, public, and school librarians.

All workshops are free and open to all on a first-registered, first-serve basis, and include lunch. No prior experience or knowledge is expected. Workshops are inclusive, collaborative, and welcoming to all types of technical and professional backgrounds.

There are five bursaries available for travel expenses. If you’d like to request one of them, please send an email to nycarpentries@gmail.com.


This Semester, we are offering a two day Social Science Data Workshop.

The aim of this two-day workshop is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain.

This workshop teaches data management and analysis for social science research including:

(1) Best practices for data organization in spreadsheets,

(2) Reproducible data cleaning with the application OpenRefine (“a power tool for working with messy data”),

(3) Data analysis and visualization with the programming language R.

Send us your questions at: nycarpentries@gmail.com

Register Now

Details

Date:
March 6, 2020
Time:
9:00 am - 5:00 pm
EST
Series:
Event Categories:
,
Website:
https://nydclc.github.io/2020-03-05-Cortland/

Venue

Port Watson Mini Conference Center
131 Port Watson Street
Cortland, NY 13045 United States
+ Google Map